npm install nlp_sf
let {oops} = require('nlp_sf');
console.log(oops.divide('这是待分词文本，调用oops接口直接分词并且统计词频。'));
installation
npm install nlp_sf
file structure
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+--lib----系统支持库
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+--assets----测试文件
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+--examples----测试程序
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+--index.js----程序入口
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+--package.json
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+--readme.md
api
$3
description
> the native Natural Language Processing tools. loading
first you need to load nlpir. this is the preferred method:
let nlp = require('nlp_sf');
let {nlpir} = nlp;
optionally, you also can load nlpir by the method:
let {nlpir} = require('nlp_sf');
.init()
nlpir.init();
.exit()
nlpir.exit();
$3
description
> the interface of the Natural Language Processing. loading
first you need to load oops. this is the preferred method:
let nlp = require('nlp_sf');
let {oops} = nlp;
optionally, you also can load oops by the method:
let {oops} = require('nlp_sf');
.divide(params, error)
simply, method to divide a string and return array consist of the top 100 words sort by frequency.
default error = false, not throw error.
let arr = oops.divide('这是待分词文本，调用oops接口直接分词并且统计词频。');
custom divide params:
_default_
dict = {},
query = {
top: 100,
freq: 0,
len: 1,
join: false,
tags: ['n', 'a']
}
_set top is -999, export all keywords_
_text is either String or array_
_tags_
let path = require('path');
let text = '这是待分词文本，调用oops接口直接分词并且统计词频。';
let userDict = '../assets/userDict.txt';
userDict = path.join(__dirname, userDict);
let dict = {
userDict: userDict,
userWord: ['两国关系 n']
};
let query = {
top: 20,
freq: 0,
len: 1,
join: true,
tags: ['n']
};
let params = {
text: text,
dict: dict,
query: query
}
let arr = oops.divide(params);
.sense(params)
simply, method to sense a string and return object consist of positive point and negative point.
let arr = oops.sense('这是待情感分析文本，调用oops接口分析并且返回情感分析结果。');
custom sense params:
let path = require('path');
let title = '情感分析';
let content = '这是待情感分析文本，调用oops接口分析并且返回情感分析结果。';
let target = '情感';
let userDict = '../assets/userDict.txt';
userDict = path.join(__dirname, userDict);
let params = {
content: content,
target: target,
title: title,
userDict: title
}
let obj = oops.sense(params);
.distinguish(array)
first update dict, second use distinguish
folder /lib/lexical store .yml dict, updateDict read the .yml dict , and update .txt dict store /lib/dict folder
let arr = oops.divide(params);
oops.updateDict();
console.log(oops.distinguish(arr));
.divdis(params)
divide + distinguish
first update dict, second use divdis
folder /lib/lexical store .yml dict, updateDict read the .yml dict , and update .txt dict store /lib/dict folder
oops.updateDict();
console.log(oops.divdis(arr));